Test

Dataset statistics

Number of variables	17
Number of observations	2460
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	410.5 KiB
Average record size in memory	170.9 B

Variable types

Numeric	8
Categorical	9

Alerts

`year` has constant value "2016"	Constant
`date` has a high cardinality: 203 distinct values	High cardinality
`start_time` has a high cardinality: 207 distinct values	High cardinality
`away_team_hits` is highly overall correlated with `away_team_runs`	High correlation
`away_team_runs` is highly overall correlated with `away_team_hits`	High correlation
`home_team_hits` is highly overall correlated with `home_team_runs`	High correlation
`home_team_runs` is highly overall correlated with `home_team_hits`	High correlation
`game_type` is highly overall correlated with `week_day`	High correlation
`home_team` is highly overall correlated with `venue` and 1 other fields	High correlation
`venue` is highly overall correlated with `home_team` and 1 other fields	High correlation
`week_day` is highly overall correlated with `game_type`	High correlation
`fiedl_type` is highly overall correlated with `home_team` and 1 other fields	High correlation
`fiedl_type` is highly imbalanced (64.2%)	Imbalance
`away_team` is uniformly distributed	Uniform
`home_team` is uniformly distributed	Uniform
`away_team_errors` has 1407 (57.2%) zeros	Zeros
`away_team_runs` has 156 (6.3%) zeros	Zeros
`home_team_errors` has 1416 (57.6%) zeros	Zeros
`home_team_runs` has 130 (5.3%) zeros	Zeros

Reproduction

Analysis started	2023-02-04 00:51:04.342784
Analysis finished	2023-02-04 00:51:16.572065
Duration	12.23 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

attendance
Real number (ℝ)

Distinct	2374
Distinct (%)	96.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	30370.704

Minimum	8766
Maximum	54449
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	8766
5-th percentile	13971.15
Q1	22432
median	30604.5
Q3	38396.25
95-th percentile	45624.1
Maximum	54449
Range	45683
Interquartile range (IQR)	15964.25

Descriptive statistics

Standard deviation	9875.4667
Coefficient of variation (CV)	0.32516424
Kurtosis	-0.90285907
Mean	30370.704
Median Absolute Deviation (MAD)	8006
Skewness	-0.052483633
Sum	74711931
Variance	97524843
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27631	3	0.1%
41210	2	0.1%
41850	2	0.1%
13481	2	0.1%
44317	2	0.1%
34294	2	0.1%
39691	2	0.1%
36544	2	0.1%
22230	2	0.1%
26087	2	0.1%
Other values (2364)	2439	99.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
8766	1	< 0.1%
9393	1	< 0.1%
9890	1	< 0.1%
10068	1	< 0.1%
10072	1	< 0.1%
10114	1	< 0.1%
10115	1	< 0.1%
10117	1	< 0.1%
10251	1	< 0.1%
10283	1	< 0.1%

Value	Count	Frequency (%)
54449	2	0.1%
54269	1	< 0.1%
53901	1	< 0.1%
53621	1	< 0.1%
53449	1	< 0.1%
53409	1	< 0.1%
53299	1	< 0.1%
53297	1	< 0.1%
53279	1	< 0.1%
52728	1	< 0.1%

away_team
Categorical

Distinct	30
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	38.4 KiB

Chicago Cubs	90
Los Angeles Dodgers	87
Cleveland Indians	86
Toronto Blue Jays	85
San Francisco Giants	84
Other values (25)	2028

Length

Max length	29
Median length	19
Mean length	16.694309
Min length	12

Characters and Unicode

Total characters	41068
Distinct characters	46
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	New York Mets
2nd row	Philadelphia Phillies
3rd row	Minnesota Twins
4th row	Washington Nationals
5th row	Colorado Rockies

Common Values

Value	Count	Frequency (%)
Chicago Cubs	90	3.7%
Los Angeles Dodgers	87	3.5%
Cleveland Indians	86	3.5%
Toronto Blue Jays	85	3.5%
San Francisco Giants	84	3.4%
Boston Red Sox	83	3.4%
Washington Nationals	83	3.4%
Baltimore Orioles	82	3.3%
Texas Rangers	82	3.3%
Cincinnati Reds	81	3.3%
Other values (20)	1617	65.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chicago	171	2.8%
angeles	168	2.8%
los	168	2.8%
san	165	2.7%
sox	164	2.7%
new	161	2.7%
york	161	2.7%
cubs	90	1.5%
dodgers	87	1.4%
cleveland	86	1.4%
Other values (57)	4646	76.6%

Most occurring characters

Value	Count	Frequency (%)
a	3762	9.2%
	3607	8.8%
s	3530	8.6%
e	3275	8.0%
i	3021	7.4%
o	2800	6.8%
n	2714	6.6%
t	2035	5.0%
r	1876	4.6%
l	1804	4.4%
Other values (36)	12644	30.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	31395	76.4%
Uppercase Letter	5986	14.6%
Space Separator	3607	8.8%
Other Punctuation	80	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3762	12.0%
s	3530	11.2%
e	3275	10.4%
i	3021	9.6%
o	2800	8.9%
n	2714	8.6%
t	2035	6.5%
r	1876	6.0%
l	1804	5.7%
g	915	2.9%
Other values (14)	5663	18.0%

Uppercase Letter

Value	Count	Frequency (%)
C	670	11.2%
A	653	10.9%
B	492	8.2%
S	490	8.2%
R	489	8.2%
M	485	8.1%
T	410	6.8%
P	405	6.8%
D	330	5.5%
L	248	4.1%
Other values (10)	1314	22.0%

Space Separator

Value	Count	Frequency (%)
	3607	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	80	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	37381	91.0%
Common	3687	9.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3762	10.1%
s	3530	9.4%
e	3275	8.8%
i	3021	8.1%
o	2800	7.5%
n	2714	7.3%
t	2035	5.4%
r	1876	5.0%
l	1804	4.8%
g	915	2.4%
Other values (34)	11649	31.2%

Common

Value	Count	Frequency (%)
	3607	97.8%
.	80	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41068	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	3762	9.2%
	3607	8.8%
s	3530	8.6%
e	3275	8.0%
i	3021	7.4%
o	2800	6.8%
n	2714	6.6%
t	2035	5.0%
r	1876	4.6%
l	1804	4.4%
Other values (36)	12644	30.8%

away_team_errors
Real number (ℝ)

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5800813

Minimum	0
Maximum	5
Zeros	1407
Zeros (%)	57.2%
Negative	0
Negative (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.79322671
Coefficient of variation (CV)	1.3674406
Kurtosis	2.1811828
Mean	0.5800813
Median Absolute Deviation (MAD)	0
Skewness	1.4582673
Sum	1427
Variance	0.62920861
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	1407	57.2%
1	765	31.1%
2	215	8.7%
3	61	2.5%
4	11	0.4%
5	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1407	57.2%
1	765	31.1%
2	215	8.7%
3	61	2.5%
4	11	0.4%
5	1	< 0.1%

Value	Count	Frequency (%)
5	1	< 0.1%
4	11	0.4%
3	61	2.5%
2	215	8.7%
1	765	31.1%
0	1407	57.2%

away_team_hits
Real number (ℝ)

Distinct	22
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.7670732

Minimum	1
Maximum	22
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	6
median	8
Q3	11
95-th percentile	15
Maximum	22
Range	21
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.5126873
Coefficient of variation (CV)	0.40066819
Kurtosis	0.13926584
Mean	8.7670732
Median Absolute Deviation (MAD)	2
Skewness	0.51233243
Sum	21567
Variance	12.338972
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
9	293	11.9%
7	287	11.7%
8	275	11.2%
10	238	9.7%
6	225	9.1%
5	197	8.0%
11	194	7.9%
4	135	5.5%
12	132	5.4%
13	113	4.6%
Other values (12)	371	15.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7	0.3%
2	26	1.1%
3	83	3.4%
4	135	5.5%
5	197	8.0%
6	225	9.1%
7	287	11.7%
8	275	11.2%
9	293	11.9%
10	238	9.7%

Value	Count	Frequency (%)
22	4	0.2%
21	1	< 0.1%
20	2	0.1%
19	12	0.5%
18	15	0.6%
17	28	1.1%
16	40	1.6%
15	66	2.7%
14	87	3.5%
13	113	4.6%

away_team_runs
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	20
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.4150407

Minimum	0
Maximum	21
Zeros	156
Zeros (%)	6.3%
Negative	0
Negative (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	6
95-th percentile	10
Maximum	21
Range	21
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.1053905
Coefficient of variation (CV)	0.70336622
Kurtosis	1.0089307
Mean	4.4150407
Median Absolute Deviation (MAD)	2
Skewness	0.93889878
Sum	10861
Variance	9.64345
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
3	347	14.1%
2	340	13.8%
4	308	12.5%
5	272	11.1%
1	265	10.8%
6	217	8.8%
7	179	7.3%
0	156	6.3%
8	115	4.7%
9	85	3.5%
Other values (10)	176	7.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	156	6.3%
1	265	10.8%
2	340	13.8%
3	347	14.1%
4	308	12.5%
5	272	11.1%
6	217	8.8%
7	179	7.3%
8	115	4.7%
9	85	3.5%

Value	Count	Frequency (%)
21	1	< 0.1%
18	1	< 0.1%
17	1	< 0.1%
16	5	0.2%
15	10	0.4%
14	7	0.3%
13	21	0.9%
12	25	1.0%
11	36	1.5%
10	69	2.8%

date
Categorical

Distinct	203
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Memory size	38.4 KiB

June 25	16
May 11	16
September 17	16
August 16	16
May 7	16
Other values (198)	2380

Length

Max length	12
Median length	10
Mean length	7.9321138
Min length	5

Characters and Unicode

Total characters	19513
Distinct characters	34
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	0.7%

Sample

1st row	April 3
2nd row	April 6
3rd row	April 6
4th row	April 6
5th row	April 6

Common Values

Value	Count	Frequency (%)
June 25	16	0.7%
May 11	16	0.7%
September 17	16	0.7%
August 16	16	0.7%
May 7	16	0.7%
May 18	16	0.7%
July 20	16	0.7%
May 14	16	0.7%
August 31	16	0.7%
September 14	15	0.6%
Other values (193)	2301	93.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
august	424	8.6%
may	423	8.6%
september	408	8.3%
june	406	8.3%
july	380	7.7%
april	354	7.2%
17	91	1.8%
24	90	1.8%
10	89	1.8%
20	87	1.8%
Other values (29)	2168	44.1%

Most occurring characters

Value	Count	Frequency (%)
	2460	12.6%
e	1697	8.7%
u	1634	8.4%
1	1053	5.4%
2	1050	5.4%
t	895	4.6%
r	827	4.2%
y	803	4.1%
J	786	4.0%
A	778	4.0%
Other values (24)	7530	38.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10396	53.3%
Decimal Number	4197	21.5%
Space Separator	2460	12.6%
Uppercase Letter	2460	12.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1697	16.3%
u	1634	15.7%
t	895	8.6%
r	827	8.0%
y	803	7.7%
p	762	7.3%
l	734	7.1%
b	473	4.5%
g	424	4.1%
s	424	4.1%
Other values (7)	1723	16.6%

Decimal Number

Value	Count	Frequency (%)
1	1053	25.1%
2	1050	25.0%
3	360	8.6%
0	261	6.2%
7	260	6.2%
9	248	5.9%
4	247	5.9%
5	246	5.9%
6	241	5.7%
8	231	5.5%

Uppercase Letter

Value	Count	Frequency (%)
J	786	32.0%
A	778	31.6%
M	423	17.2%
S	408	16.6%
O	63	2.6%
N	2	0.1%

Space Separator

Value	Count	Frequency (%)
	2460	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	12856	65.9%
Common	6657	34.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1697	13.2%
u	1634	12.7%
t	895	7.0%
r	827	6.4%
y	803	6.2%
J	786	6.1%
A	778	6.1%
p	762	5.9%
l	734	5.7%
b	473	3.7%
Other values (13)	3467	27.0%

Common

Value	Count	Frequency (%)
	2460	37.0%
1	1053	15.8%
2	1050	15.8%
3	360	5.4%
0	261	3.9%
7	260	3.9%
9	248	3.7%
4	247	3.7%
5	246	3.7%
6	241	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19513	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2460	12.6%
e	1697	8.7%
u	1634	8.4%
1	1053	5.4%
2	1050	5.4%
t	895	4.6%
r	827	4.2%
y	803	4.1%
J	786	4.0%
A	778	4.0%
Other values (24)	7530	38.6%

game_duration
Real number (ℝ)

Distinct	168
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	288.63333

Minimum	115
Maximum	613
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	115
5-th percentile	229
Q1	247
median	302
Q3	319
95-th percentile	352
Maximum	613
Range	498
Interquartile range (IQR)	72

Descriptive statistics

Standard deviation	49.449673
Coefficient of variation (CV)	0.1713235
Kurtosis	3.3939088
Mean	288.63333
Median Absolute Deviation (MAD)	44
Skewness	1.1491938
Sum	710038
Variance	2445.2701
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
255	55	2.2%
256	54	2.2%
300	53	2.2%
254	51	2.1%
308	47	1.9%
304	47	1.9%
303	46	1.9%
305	46	1.9%
252	45	1.8%
307	45	1.8%
Other values (158)	1971	80.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
115	1	< 0.1%
155	1	< 0.1%
202	1	< 0.1%
206	1	< 0.1%
207	1	< 0.1%
208	2	0.1%
210	4	0.2%
211	3	0.1%
212	3	0.1%
213	2	0.1%

Value	Count	Frequency (%)
613	1	< 0.1%
556	1	< 0.1%
548	1	< 0.1%
547	1	< 0.1%
534	1	< 0.1%
526	1	< 0.1%
525	2	0.1%
523	1	< 0.1%
518	1	< 0.1%
510	1	< 0.1%

game_type
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	38.4 KiB

Night Game	1664
Day Game	796

Length

Max length	10
Median length	10
Mean length	9.3528455
Min length	8

Characters and Unicode

Total characters	23008
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Night Game
2nd row	Night Game
3rd row	Night Game
4th row	Night Game
5th row	Day Game

Common Values

Value	Count	Frequency (%)
Night Game	1664	67.6%
Day Game	796	32.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
game	2460	50.0%
night	1664	33.8%
day	796	16.2%

Most occurring characters

Value	Count	Frequency (%)
a	3256	14.2%
	2460	10.7%
G	2460	10.7%
m	2460	10.7%
e	2460	10.7%
N	1664	7.2%
i	1664	7.2%
g	1664	7.2%
h	1664	7.2%
t	1664	7.2%
Other values (2)	1592	6.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15628	67.9%
Uppercase Letter	4920	21.4%
Space Separator	2460	10.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3256	20.8%
m	2460	15.7%
e	2460	15.7%
i	1664	10.6%
g	1664	10.6%
h	1664	10.6%
t	1664	10.6%
y	796	5.1%

Uppercase Letter

Value	Count	Frequency (%)
G	2460	50.0%
N	1664	33.8%
D	796	16.2%

Space Separator

Value	Count	Frequency (%)
	2460	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20548	89.3%
Common	2460	10.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3256	15.8%
G	2460	12.0%
m	2460	12.0%
e	2460	12.0%
N	1664	8.1%
i	1664	8.1%
g	1664	8.1%
h	1664	8.1%
t	1664	8.1%
D	796	3.9%

Common

Value	Count	Frequency (%)
	2460	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23008	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	3256	14.2%
	2460	10.7%
G	2460	10.7%
m	2460	10.7%
e	2460	10.7%
N	1664	7.2%
i	1664	7.2%
g	1664	7.2%
h	1664	7.2%
t	1664	7.2%
Other values (2)	1592	6.9%

home_team
Categorical

HIGH CORRELATION UNIFORM

Distinct	30
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	38.4 KiB

Cleveland Indians	89
Chicago Cubs	89
Los Angeles Dodgers	86
Toronto Blue Jays	86
Washington Nationals	84
Other values (25)	2026

Length

Max length	29
Median length	19
Mean length	16.695528
Min length	12

Characters and Unicode

Total characters	41071
Distinct characters	46
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Kansas City Royals
2nd row	Cincinnati Reds
3rd row	Baltimore Orioles
4th row	Atlanta Braves
5th row	Arizona Diamondbacks

Common Values

Value	Count	Frequency (%)
Cleveland Indians	89	3.6%
Chicago Cubs	89	3.6%
Los Angeles Dodgers	86	3.5%
Toronto Blue Jays	86	3.5%
Washington Nationals	84	3.4%
Texas Rangers	83	3.4%
San Francisco Giants	83	3.4%
Boston Red Sox	82	3.3%
Kansas City Royals	81	3.3%
Cincinnati Reds	81	3.3%
Other values (20)	1616	65.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chicago	169	2.8%
los	167	2.8%
angeles	167	2.8%
san	164	2.7%
sox	162	2.7%
new	162	2.7%
york	162	2.7%
indians	89	1.5%
cleveland	89	1.5%
cubs	89	1.5%
Other values (57)	4646	76.6%

Most occurring characters

Value	Count	Frequency (%)
a	3770	9.2%
	3606	8.8%
s	3530	8.6%
e	3277	8.0%
i	3014	7.3%
o	2795	6.8%
n	2724	6.6%
t	2033	4.9%
r	1872	4.6%
l	1810	4.4%
Other values (36)	12640	30.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	31399	76.5%
Uppercase Letter	5985	14.6%
Space Separator	3606	8.8%
Other Punctuation	81	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3770	12.0%
s	3530	11.2%
e	3277	10.4%
i	3014	9.6%
o	2795	8.9%
n	2724	8.7%
t	2033	6.5%
r	1872	6.0%
l	1810	5.8%
d	913	2.9%
Other values (14)	5661	18.0%

Uppercase Letter

Value	Count	Frequency (%)
C	671	11.2%
A	653	10.9%
B	492	8.2%
R	489	8.2%
S	488	8.2%
M	484	8.1%
T	411	6.9%
P	403	6.7%
D	328	5.5%
L	248	4.1%
Other values (10)	1318	22.0%

Space Separator

Value	Count	Frequency (%)
	3606	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	81	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	37384	91.0%
Common	3687	9.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3770	10.1%
s	3530	9.4%
e	3277	8.8%
i	3014	8.1%
o	2795	7.5%
n	2724	7.3%
t	2033	5.4%
r	1872	5.0%
l	1810	4.8%
d	913	2.4%
Other values (34)	11646	31.2%

Common

Value	Count	Frequency (%)
	3606	97.8%
.	81	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41071	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	3770	9.2%
	3606	8.8%
s	3530	8.6%
e	3277	8.0%
i	3014	7.3%
o	2795	6.8%
n	2724	6.6%
t	2033	4.9%
r	1872	4.6%
l	1810	4.4%
Other values (36)	12640	30.8%

home_team_errors
Real number (ℝ)

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.58617886

Minimum	0
Maximum	5
Zeros	1416
Zeros (%)	57.6%
Negative	0
Negative (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.80581712
Coefficient of variation (CV)	1.3746949
Kurtosis	2.0546943
Mean	0.58617886
Median Absolute Deviation (MAD)	0
Skewness	1.4410193
Sum	1442
Variance	0.64934123
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	1416	57.6%
1	732	29.8%
2	241	9.8%
3	57	2.3%
4	13	0.5%
5	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1416	57.6%
1	732	29.8%
2	241	9.8%
3	57	2.3%
4	13	0.5%
5	1	< 0.1%

Value	Count	Frequency (%)
5	1	< 0.1%
4	13	0.5%
3	57	2.3%
2	241	9.8%
1	732	29.8%
0	1416	57.6%

home_team_hits
Real number (ℝ)

Distinct	23
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.6113821

Minimum	0
Maximum	22
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	6
median	8
Q3	11
95-th percentile	15
Maximum	22
Range	22
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.4386792
Coefficient of variation (CV)	0.39931792
Kurtosis	0.18147362
Mean	8.6113821
Median Absolute Deviation (MAD)	2
Skewness	0.47623304
Sum	21184
Variance	11.824515
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
8	294	12.0%
7	275	11.2%
9	274	11.1%
6	257	10.4%
10	236	9.6%
11	194	7.9%
5	184	7.5%
12	165	6.7%
4	151	6.1%
13	96	3.9%
Other values (13)	334	13.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	12	0.5%
2	33	1.3%
3	72	2.9%
4	151	6.1%
5	184	7.5%
6	257	10.4%
7	275	11.2%
8	294	12.0%
9	274	11.1%

Value	Count	Frequency (%)
22	1	< 0.1%
21	3	0.1%
20	1	< 0.1%
19	10	0.4%
18	17	0.7%
17	28	1.1%
16	31	1.3%
15	36	1.5%
14	89	3.6%
13	96	3.9%

home_team_runs
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	18
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.5203252

Minimum	0
Maximum	17
Zeros	130
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	38.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	4
Q3	6
95-th percentile	11
Maximum	17
Range	17
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	3.1125024
Coefficient of variation (CV)	0.68855719
Kurtosis	0.83058099
Mean	4.5203252
Median Absolute Deviation (MAD)	2
Skewness	0.92009549
Sum	11120
Variance	9.6876713
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
3	354	14.4%
2	312	12.7%
4	305	12.4%
5	301	12.2%
1	273	11.1%
6	207	8.4%
7	190	7.7%
0	130	5.3%
8	130	5.3%
9	79	3.2%
Other values (8)	179	7.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	130	5.3%
1	273	11.1%
2	312	12.7%
3	354	14.4%
4	305	12.4%
5	301	12.2%
6	207	8.4%
7	190	7.7%
8	130	5.3%
9	79	3.2%

Value	Count	Frequency (%)
17	4	0.2%
16	5	0.2%
15	4	0.2%
14	16	0.7%
13	26	1.1%
12	33	1.3%
11	37	1.5%
10	54	2.2%
9	79	3.2%
8	130	5.3%

start_time
Categorical

Distinct	207
Distinct (%)	8.4%
Missing	0
Missing (%)	0.0%
Memory size	38.4 KiB

7:10pm	413
7:11pm	213
7:07pm	195
7:08pm	138
1:10pm	121
Other values (202)	1380

Length

Max length	8
Median length	7
Mean length	7.0512195
Min length	7

Characters and Unicode

Total characters	17346
Distinct characters	15
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	79 ?
Unique (%)	3.2%

Sample

1st row	7:38pm
2nd row	7:11pm
3rd row	7:07pm
4th row	7:10pm
5th row	12:40pm

Common Values

Value	Count	Frequency (%)
7:10pm	413	16.8%
7:11pm	213	8.7%
7:07pm	195	7.9%
7:08pm	138	5.6%
1:10pm	121	4.9%
1:11pm	82	3.3%
7:09pm	80	3.3%
7:15pm	66	2.7%
6:40pm	51	2.1%
7:06pm	50	2.0%
Other values (197)	1051	42.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
7:10pm	413	16.8%
7:11pm	213	8.7%
7:07pm	195	7.9%
7:08pm	138	5.6%
1:10pm	121	4.9%
1:11pm	82	3.3%
7:09pm	80	3.3%
7:15pm	66	2.7%
6:40pm	51	2.1%
7:06pm	50	2.0%
Other values (197)	1051	42.7%

Most occurring characters

Value	Count	Frequency (%)
	2460	14.2%
:	2460	14.2%
m	2460	14.2%
p	2458	14.2%
1	2401	13.8%
7	1678	9.7%
0	1476	8.5%
6	432	2.5%
2	358	2.1%
4	287	1.7%
Other values (5)	876	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7506	43.3%
Lowercase Letter	4920	28.4%
Space Separator	2460	14.2%
Other Punctuation	2460	14.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	2401	32.0%
7	1678	22.4%
0	1476	19.7%
6	432	5.8%
2	358	4.8%
4	287	3.8%
8	286	3.8%
5	230	3.1%
3	206	2.7%
9	152	2.0%

Lowercase Letter

Value	Count	Frequency (%)
m	2460	50.0%
p	2458	50.0%
a	2	< 0.1%

Space Separator

Value	Count	Frequency (%)
	2460	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	2460	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	12426	71.6%
Latin	4920	28.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
	2460	19.8%
:	2460	19.8%
1	2401	19.3%
7	1678	13.5%
0	1476	11.9%
6	432	3.5%
2	358	2.9%
4	287	2.3%
8	286	2.3%
5	230	1.9%
Other values (2)	358	2.9%

Latin

Value	Count	Frequency (%)
m	2460	50.0%
p	2458	50.0%
a	2	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17346	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2460	14.2%
:	2460	14.2%
m	2460	14.2%
p	2458	14.2%
1	2401	13.8%
7	1678	9.7%
0	1476	8.5%
6	432	2.5%
2	358	2.1%
4	287	1.7%
Other values (5)	876	5.1%

venue
Categorical

Distinct	31
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Memory size	38.4 KiB

Progressive Field	89
Wrigley Field	89
Dodger Stadium	86
Rogers Centre	86
Nationals Park	84
Other values (26)	2026

Length

Max length	32
Median length	20
Mean length	16.528049
Min length	9

Characters and Unicode

Total characters	40659
Distinct characters	46
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Kauffman Stadium
2nd row	Great American Ball Park
3rd row	Oriole Park at Camden Yards
4th row	Turner Field
5th row	Chase Field

Common Values

Value	Count	Frequency (%)
Progressive Field	89	3.6%
Wrigley Field	89	3.6%
Dodger Stadium	86	3.5%
Rogers Centre	86	3.5%
Nationals Park	84	3.4%
Globe Life Park in Arlington	83	3.4%
AT&T Park	83	3.4%
Fenway Park	82	3.3%
Kauffman Stadium	81	3.3%
Great American Ball Park	81	3.3%
Other values (21)	1616	65.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
park	1059	17.0%
field	824	13.2%
stadium	410	6.6%
iii	162	2.6%
progressive	89	1.4%
wrigley	89	1.4%
rogers	86	1.4%
centre	86	1.4%
dodger	86	1.4%
nationals	84	1.4%
Other values (42)	3247	52.2%

Most occurring characters

Value	Count	Frequency (%)
	6222	15.3%
a	3661	9.0%
e	3300	8.1%
i	2877	7.1%
r	2717	6.7%
l	2212	5.4%
d	1725	4.2%
n	1633	4.0%
o	1321	3.2%
t	1312	3.2%
Other values (36)	13679	33.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	27325	67.2%
Uppercase Letter	6788	16.7%
Space Separator	6222	15.3%
Other Punctuation	243	0.6%
Dash Punctuation	81	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3661	13.4%
e	3300	12.1%
i	2877	10.5%
r	2717	9.9%
l	2212	8.1%
d	1725	6.3%
n	1633	6.0%
o	1321	4.8%
t	1312	4.8%
k	1302	4.8%
Other values (13)	5265	19.3%

Uppercase Letter

Value	Count	Frequency (%)
P	1309	19.3%
F	907	13.4%
C	893	13.2%
S	571	8.4%
A	490	7.2%
I	486	7.2%
T	408	6.0%
M	323	4.8%
B	244	3.6%
N	164	2.4%
Other values (9)	993	14.6%

Other Punctuation

Value	Count	Frequency (%)
.	160	65.8%
&	83	34.2%

Space Separator

Value	Count	Frequency (%)
	6222	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	81	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	34113	83.9%
Common	6546	16.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3661	10.7%
e	3300	9.7%
i	2877	8.4%
r	2717	8.0%
l	2212	6.5%
d	1725	5.1%
n	1633	4.8%
o	1321	3.9%
t	1312	3.8%
P	1309	3.8%
Other values (32)	12046	35.3%

Common

Value	Count	Frequency (%)
	6222	95.1%
.	160	2.4%
&	83	1.3%
-	81	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	40659	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6222	15.3%
a	3661	9.0%
e	3300	8.1%
i	2877	7.1%
r	2717	6.7%
l	2212	5.4%
d	1725	4.2%
n	1633	4.0%
o	1321	3.2%
t	1312	3.2%
Other values (36)	13679	33.6%

week_day
Categorical

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	38.4 KiB

Saturday	396
Friday	394
Sunday	392
Wednesday	379
Tuesday	374
Other values (2)	525

Length

Max length	9
Median length	8
Mean length	7.1378049
Min length	6

Characters and Unicode

Total characters	17559
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sunday
2nd row	Wednesday
3rd row	Wednesday
4th row	Wednesday
5th row	Wednesday

Common Values

Value	Count	Frequency (%)
Saturday	396	16.1%
Friday	394	16.0%
Sunday	392	15.9%
Wednesday	379	15.4%
Tuesday	374	15.2%
Monday	277	11.3%
Thursday	248	10.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
saturday	396	16.1%
friday	394	16.0%
sunday	392	15.9%
wednesday	379	15.4%
tuesday	374	15.2%
monday	277	11.3%
thursday	248	10.1%

Most occurring characters

Value	Count	Frequency (%)
a	2856	16.3%
d	2839	16.2%
y	2460	14.0%
u	1410	8.0%
e	1132	6.4%
n	1048	6.0%
r	1038	5.9%
s	1001	5.7%
S	788	4.5%
T	622	3.5%
Other values (7)	2365	13.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15099	86.0%
Uppercase Letter	2460	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	2856	18.9%
d	2839	18.8%
y	2460	16.3%
u	1410	9.3%
e	1132	7.5%
n	1048	6.9%
r	1038	6.9%
s	1001	6.6%
t	396	2.6%
i	394	2.6%
Other values (2)	525	3.5%

Uppercase Letter

Value	Count	Frequency (%)
S	788	32.0%
T	622	25.3%
F	394	16.0%
W	379	15.4%
M	277	11.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17559	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	2856	16.3%
d	2839	16.2%
y	2460	14.0%
u	1410	8.0%
e	1132	6.4%
n	1048	6.0%
r	1038	5.9%
s	1001	5.7%
S	788	4.5%
T	622	3.5%
Other values (7)	2365	13.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17559	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	2856	16.3%
d	2839	16.2%
y	2460	14.0%
u	1410	8.0%
e	1132	6.4%
n	1048	6.0%
r	1038	5.9%
s	1001	5.7%
S	788	4.5%
T	622	3.5%
Other values (7)	2365	13.5%

year
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	38.4 KiB

2016	2460

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	9840
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2016
2nd row	2016
3rd row	2016
4th row	2016
5th row	2016

Common Values

Value	Count	Frequency (%)
2016	2460	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2016	2460	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	2460	25.0%
0	2460	25.0%
1	2460	25.0%
6	2460	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	9840	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	2460	25.0%
0	2460	25.0%
1	2460	25.0%
6	2460	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9840	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	2460	25.0%
0	2460	25.0%
1	2460	25.0%
6	2460	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9840	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	2460	25.0%
0	2460	25.0%
1	2460	25.0%
6	2460	25.0%

fiedl_type
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	38.4 KiB

on grass	2293
on turf	167

Length

Max length	8
Median length	8
Mean length	7.9321138
Min length	7

Characters and Unicode

Total characters	19513
Distinct characters	10
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	on grass
2nd row	on grass
3rd row	on grass
4th row	on grass
5th row	on grass

Common Values

Value	Count	Frequency (%)
on grass	2293	93.2%
on turf	167	6.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
on	2460	50.0%
grass	2293	46.6%
turf	167	3.4%

Most occurring characters

Value	Count	Frequency (%)
s	4586	23.5%
o	2460	12.6%
n	2460	12.6%
	2460	12.6%
r	2460	12.6%
g	2293	11.8%
a	2293	11.8%
t	167	0.9%
u	167	0.9%
f	167	0.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17053	87.4%
Space Separator	2460	12.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	4586	26.9%
o	2460	14.4%
n	2460	14.4%
r	2460	14.4%
g	2293	13.4%
a	2293	13.4%
t	167	1.0%
u	167	1.0%
f	167	1.0%

Space Separator

Value	Count	Frequency (%)
	2460	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17053	87.4%
Common	2460	12.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	4586	26.9%
o	2460	14.4%
n	2460	14.4%
r	2460	14.4%
g	2293	13.4%
a	2293	13.4%
t	167	1.0%
u	167	1.0%
f	167	1.0%

Common

Value	Count	Frequency (%)
	2460	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19513	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	4586	23.5%
o	2460	12.6%
n	2460	12.6%
	2460	12.6%
r	2460	12.6%
g	2293	11.8%
a	2293	11.8%
t	167	0.9%
u	167	0.9%
f	167	0.9%

Auto

Heatmap
Table

	attendance	away_team_errors	away_team_hits	away_team_runs	game_duration	home_team_errors	home_team_hits	home_team_runs	away_team	game_type	home_team	venue	week_day	fiedl_type
attendance	1.000	0.018	-0.042	-0.049	0.050	-0.018	0.001	0.024	0.119	0.123	0.425	0.426	0.130	0.402
away_team_errors	0.018	1.000	0.033	0.047	0.131	0.005	0.145	0.206	0.033	0.000	0.000	0.000	0.028	0.000
away_team_hits	-0.042	0.033	1.000	0.759	0.487	0.166	0.101	0.046	0.000	0.000	0.067	0.067	0.000	0.000
away_team_runs	-0.049	0.047	0.759	1.000	0.458	0.257	0.087	0.035	0.030	0.000	0.064	0.062	0.000	0.000
game_duration	0.050	0.131	0.487	0.458	1.000	0.152	0.348	0.246	0.009	0.000	0.024	0.000	0.000	0.000
home_team_errors	-0.018	0.005	0.166	0.257	0.152	1.000	-0.019	-0.010	0.036	0.000	0.049	0.046	0.000	0.000
home_team_hits	0.001	0.145	0.101	0.087	0.348	-0.019	1.000	0.747	0.040	0.000	0.060	0.059	0.021	0.000
home_team_runs	0.024	0.206	0.046	0.035	0.246	-0.010	0.747	1.000	0.008	0.000	0.038	0.034	0.000	0.000
away_team	0.119	0.033	0.000	0.030	0.009	0.036	0.040	0.008	1.000	0.000	0.179	0.179	0.000	0.251
game_type	0.123	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.098	0.097	0.617	0.021
home_team	0.425	0.000	0.067	0.064	0.024	0.049	0.060	0.038	0.179	0.098	1.000	1.000	0.000	0.994
venue	0.426	0.000	0.067	0.062	0.000	0.046	0.059	0.034	0.179	0.097	1.000	1.000	0.000	0.994
week_day	0.130	0.028	0.000	0.000	0.000	0.000	0.021	0.000	0.000	0.617	0.000	0.000	1.000	0.000
fiedl_type	0.402	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.251	0.021	0.994	0.994	0.000	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	attendance	away_team	away_team_errors	away_team_hits	away_team_runs	date	game_duration	game_type	home_team	home_team_errors	home_team_hits	home_team_runs	start_time	venue	week_day	year	fiedl_type
0	40030.0	New York Mets	1	7	3	April 3	313	Night Game	Kansas City Royals	0	9	4	7:38pm	Kauffman Stadium	Sunday	2016	on grass
1	21621.0	Philadelphia Phillies	0	5	2	April 6	223	Night Game	Cincinnati Reds	0	8	3	7:11pm	Great American Ball Park	Wednesday	2016	on grass
2	12622.0	Minnesota Twins	0	5	2	April 6	311	Night Game	Baltimore Orioles	0	9	4	7:07pm	Oriole Park at Camden Yards	Wednesday	2016	on grass
3	18531.0	Washington Nationals	0	8	3	April 6	253	Night Game	Atlanta Braves	1	8	1	7:10pm	Turner Field	Wednesday	2016	on grass
4	18572.0	Colorado Rockies	1	8	4	April 6	239	Day Game	Arizona Diamondbacks	0	8	3	12:40pm	Chase Field	Wednesday	2016	on grass
5	28386.0	Seattle Mariners	1	11	10	April 5	330	Night Game	Texas Rangers	1	7	2	7:07pm	Globe Life Park in Arlington	Tuesday	2016	on grass
6	12757.0	Toronto Blue Jays	0	9	2	April 5	307	Night Game	Tampa Bay Rays	1	7	3	7:10pm	Tropicana Field	Tuesday	2016	on turf
7	28329.0	Los Angeles Dodgers	0	6	3	April 5	236	Night Game	San Diego Padres	1	2	0	7:11pm	Petco Park	Tuesday	2016	on grass
8	26049.0	St. Louis Cardinals	1	8	5	April 5	327	Night Game	Pittsburgh Pirates	2	12	6	7:08pm	PNC Park	Tuesday	2016	on grass
9	10478.0	Chicago White Sox	0	11	5	April 5	328	Night Game	Oakland Athletics	0	10	4	7:08pm	Oakland-Alameda County Coliseum	Tuesday	2016	on grass

	attendance	away_team	away_team_errors	away_team_hits	away_team_runs	date	game_duration	game_type	home_team	home_team_errors	home_team_hits	home_team_runs	start_time	venue	week_day	year	fiedl_type
2453	43683.0	Philadelphia Phillies	2	6	2	April 4	256	Day Game	Cincinnati Reds	0	6	6	4:11pm	Great American Ball Park	Monday	2016	on grass
2454	45785.0	Minnesota Twins	0	7	2	April 4	248	Day Game	Baltimore Orioles	0	10	3	4:46pm	Oriole Park at Camden Yards	Monday	2016	on grass
2455	48282.0	Washington Nationals	0	8	4	April 4	323	Day Game	Atlanta Braves	2	4	3	4:13pm	Turner Field	Monday	2016	on grass
2456	48165.0	Colorado Rockies	0	15	10	April 4	411	Night Game	Arizona Diamondbacks	0	12	5	6:42pm	Chase Field	Monday	2016	on grass
2457	44020.0	Chicago Cubs	0	11	9	April 4	308	Night Game	Los Angeles Angels of Anaheim	1	3	0	7:08pm	Angel Stadium of Anaheim	Monday	2016	on grass
2458	31042.0	Toronto Blue Jays	2	7	5	April 3	251	Day Game	Tampa Bay Rays	1	7	3	4:09pm	Tropicana Field	Sunday	2016	on turf
2459	39500.0	St. Louis Cardinals	0	5	1	April 3	302	Day Game	Pittsburgh Pirates	1	9	4	1:15pm	PNC Park	Sunday	2016	on grass
2460	20098.0	San Francisco Giants	0	6	3	April 6	319	Day Game	Milwaukee Brewers	2	9	4	12:41pm	Miller Park	Wednesday	2016	on grass
2461	17883.0	Detroit Tigers	0	13	7	April 6	322	Day Game	Miami Marlins	1	10	3	4:57pm	Marlins Park	Wednesday	2016	on grass
2462	10298.0	Boston Red Sox	1	10	6	April 6	329	Night Game	Cleveland Indians	0	9	7	6:22pm	Progressive Field	Wednesday	2016	on grass

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks